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PELS (Procedia of Engineering and Life Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 28072243     DOI : https://doi.org/10.21070/pels
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each other). The accepted research articles will be available online following the journal peer-reviewing process. Language used in this journal is Bahasa (Indonesia) or English. Aims and Scope of this journal is science and technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 662 Documents
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Web-Based Monitoring Information System Project Administration (Case Study PT PJB Services) Ivan Aries Rizaldy; Suprianto Suprianto
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1376

Abstract

PT PJB Services is a company engaged in power generation to provide operation and maintenance services for power generation units. In the process of carrying out its work, monitoring is needed, which is used for the benefit of project management so that the work carried out can be completed as expected so that employees can monitor the project's progress. The objectives of this study include facilitating the process of reporting project developments through the application website, minimizing errors in inputting monitoring updates in the project development process when data synchronization is carried out and integrating monitoring in the Niaga Project Division at PT PJB Services. In the development of this research, the researcher uses the BlackBox method, where the method is focused on the functionality side, especially on the input and output of the application; where this test is carried out at the end of making the application to find out whether the application can function correctly. The results obtained in this study are that the project administration monitoring information system can facilitate reporting of project administration monitoring data when needed and can assist in processing project data development and facilitate project monitoring in making decisions on project management.
Analysis of Microplastic in Ice Cubes Around Mulawarman University Gunung Kelua sub-District: Analisis Kandungan Mikroplastik pada Es Batu di sekitar Universitas Mulawarman Kelurahan Gunung Kelua Fajrina, Dinda Nur; Boleng, Didimus Tanah; Tinekke Lumowa, Sonnja Verra
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analysis of Microplastic in Ice Cubes Around Mulawarman University Gunung Kelua sub-district, thesis for Biology Education Study Program, Faculty of Teacher Training and Education, Mulawarman University, Research Under the Guidance of Prof. Dr. Didimus Tanah Boleng, M.Kes and Dr. Sonja Verra Tinneke Lumowa, M. Kes as supervisor I and II. This study aims to determine the microplastic in ice cubes and to determine the shape, color, and abundance of microplastics in ice cubes around Mulawarman University, Gunung Kelua sub-district. The type of research used is descriptive quantitative. Sampling with purposive sampling technique. The data analysis technique is quantitative descriptive by identifying and classifying it based on the shape, color, and abundance of microplastics in the ice cubes. The results of the research on the analysis of the microplastic in ice cubes around Mulawarman University Gunung Kelua sub-district, showed that all samples of the tested ice cubes contained positive microplastics. Microplastics in ice cubes with AMIU 1 as raw material have an abundance of 10 particles/L in the form of fibers, fragments and films with black, red, blue and transparent colors. Microplastics in ice cubes with AMIU 2 raw materials have an abundance of 9 particles/L in the form of fibers and fragments with black and red colors. Microplastics in ice cubes with PDAM 1 as raw material have an abundance of 22 particles/L in the form of fibers, fragments, and films with black, red, blue, purple, transparent, and yellow colors. Microplastics in ice cubes made from PDAM 2 have an abundance of 17 particles in the form of fibers and fragments with black, red and blue colors. Microplastics in crystal ice cubes have an abundance of 29 particles/L in the form of fibers, fragments and films with black, red, purple and transparent colors.
Sentiment Analysis of the COVID-19 Booster Vaccine with the Naïve Bayes Algorithm: Analisis Sentimen Vaksin Booster COVID-19 dengan Algoritme Naïve Bayes Utari, Dyah Retno
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1379

Abstract

In early 2020, a new deadly virus was discovered that can spread quickly, called SARS-CoV-2 or Coronavirus Disease 2019 (COVID-19). Indonesia is a country with a relatively high number of survivors of COVID-19. The success of the Indonesian government in providing massive COVID-19 vaccinations can minimize the risk of death. The World Health Organization (WHO) stated it would revoke the Public Health Emergency of International Concern (PHEIC) status for COVID-19 in May 2023. However, many positive cases of Covid-19 were still found in Indonesia. Most of them are survivors who have not carried out complete vaccinations until they get a booster vaccine. This study analyzes public sentiment about booster vaccines in Indonesia using the Naïve Bayes classification algorithm. The results showed that the classification modeling accuracy had an excellent value of 97.51%. In contrast, based on the analysis results, the number of words that frequently appeared in the twelve highest word cloud visualization results found tokens that had positive sentiment values.
Analysis of SEDESA Farm's Social Media Marketing Strategy Using the PRACE Method: Analisis Strategi Pemasaran Media Sosial SEDESA Farm Menggunakan Metode PRACE Kusuma, D. Isna Safitri; Andry, R.; Arista, U. Maria
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1380

Abstract

Companies are increasingly interested in adopting digital marketing tactics for their advertising and sales efforts as a result of the growing recognition of digital marketing's significance as a benchmark for global industrial development. This encouraged Sedesa Farm to look into digital marketing for new market circumstances and methods, with a particular emphasis on growing its company towards B2C (company to Customer) sales. Instagram is the digital medium of choice. The purpose of this research is to assess the current status of Sedesa Farm's digital marketing by analyzing the PRACE framework (Plan, Reach, Act, Convert, and Engage), and then to set objectives and Key Performance Indicators (KPIs) based on those assessments. PRACE (Plan, Reach, Act, Convert, and Engage) is the methodology used. Based on the findings of this research, Sedesa Farm's present approach to social media promotion has a number of holes that need to be filled. Key Performance Indicator (KPI) for social media Instagram Sedesa Farm includes 1) Reach (Reach and followers (followers)), 2) Act (likes and comments), 3) Convert (content saved and conversation rate), 4) Engage (Content shared, on average) and is based on the following company goals: 1) Build follower conversions and brand awareness; 2) Initiate brand interactions; 3) Increase sales conversions; 4) Reach loyal consumers and initiate brand involvement.
Numerical Simulation of the Effect of NACA 0012 Nozzle Geometry on Ducted Propeller Performance: Simulasi Numerik Pengaruh Geometri Nozzle NACA 0012 pada Performa Ducted Propeller Suryolaksono, Muhammad Ramadhani; Bramantya, Muhammad Agung
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1381

Abstract

Ducted propeller is a method on the propeller modification which added duct/nozzle on the propeller. Ducted propeller application is aimed to increase propeller thrust, increase propeller efficiency, and decrease propeller noise and vibration. In this research, a numerical simulation was conducted using ANSYS Fluent 2020 R2 with k-epsilon solver model. The aim of this research is to analyze the effect of the duct geometry using Ld/D (duct length/duct diameter) ratio. The simulation was done on two Ld/D variations at three different propeller angular velocity (1.000, 3.000, 5.000 rpm). The result of this research shows that duct with 0,6 Ld/D ratio has higher thrust force than duct with 0,5 Ld/D ratio. Meanwhile, the increase of propeller angular velocity increase propeller thrust force and fluid velocity.
Utilization of BCFS (Biomass Coal Fuel-Sludge) As Substitution of Energy Sources in Industrial Boilers: Pemanfaatan BCFS (Biomass Coal Fuel-Sludge Sebagai Substitusi Sumber Energi di Boiler Industri Arifin, Danang Nor; Hidawati, Hidawati
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1382

Abstract

The utilization of coal as an energy source is still the main choice of the textile industry in Indonesia. The process of this utilization left 20% of FABA (fly ash-bottom ash) where 80% of them were bottom ashes which are considered hazardous and toxic waste. This study aims to obtain the technology and production process for treating bottom ash and biomass from urban waste as an alternative energy source and reducing environmental problems (zero waste: waste to energy and waste to material). Biomass Coal Fuel-Sludge (BCFS) Briquettes as a product derived from bottom ash, biomass, and biosludge had a composition of 50%: 30%: 20%. The briquettes utilization can reduce coal use by 16% and increase boiler temperature to 35°C - 75°C. The emission in the trial burning test which were the particulates, sulfur dioxide, and nitrogen dioxide met the quality standards required in the Technical Approval in the Sector of Hazardous Waste Management from the Ministry of Environment and Forestry. With this research, the BCFS briquette products can be a solution to the utilization of B3 waste and waste problems.
Design a Car Sales Business Intelligence Using the K-Means Algorithm With Holt-winter's Smoothing Method: Rancang Bangun Business Intelligence Penjualan Mobil Menggunakan Algoritma K-Means Dengan Metode Smoothing Holt-winter’s Basri K, Ilham; Abdilah, David Fahmi; Galahartlambang , Yanuangga; Rosid , Mochammad Alfan
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1383

Abstract

The use of Business Intelligence (BI) systems as decision support systems in the automotive environment, especially luxury cars, is still limited to support decision making regarding production and distribution policies. Forecasting is an important tool in planning for every organization and agency in need. The purpose of this study is to design BI that can be applied to luxury car show rooms as part of the automotive business organization by utilizing existing information systems. This research can also be used to see an overview of luxury car sales patterns using clustering techniques using K-Means algorithms. This study was designed by relating data on fuel increases from previous years. The results of this study are in the form of forecasting data using the smothing holtwinters method of luxury car sales in the next 5 years by adjusting to the conditions of fuel increase in the next 5 years for the process of making predictions of luxury car needs in Indonesia in the coming period.
Analysis of Regional Competitiveness Index of Banten Province on Human Resources Aspects: Analisis Indeks Daya Saing Daerah Provinsi Banten pada Aspek Sumber Daya Manusia Surya, Shabrina Naras; Nurita, Nurita; Siregar, Johannes Hamonangan; Berliana, Nani Grace
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1384

Abstract

An important factor influencing the success of regional development, one of which is the human resources (HR) that have a role in increasing the productivity and competitiveness of a region. An analysis of the competitiveness of a region needs to be carried out to identify weaknesses and strengths in human resource aspects that will have an impact on economic performance and people's welfare. This study aims to analyze the Regional Competitiveness Index (IDSD) of Banten Province in terms of human resources using several indicators, including education level, availability of employment, health, and investment environment. The method used is descriptive analysis and regional competitiveness index calculation. The data used in this study were obtained from the National Research and Innovation Agency. The results of the study show that Banten Province has an IDSD value on the health pillar of 3.75. From the health pillar, there are 3 regencies/cities that have a higher IDSD score, namely Tangerang Regency with a score of 3.85, Tangerang City with a score of 4, and South Tangerang City with a score of 4. Meanwhile, the IDSD score on the skills pillar has a score of 3.44. There were only 3 that had a higher IDSD score, namely Tangerang City with a value of 3.86, Cilegon with a value of 3.53, and South Tangerang City with a value of 3.79. Therefore, it is necessary to make efforts to improve the quality of human resources in Banten Province by taking into account the factors that affect competitiveness, including education, availability of fields, employment, health, and the investment environment.
PM2.5 Concentration Pattern in ASEAN Countries Based on Population Density: Pola Konsentrasi PM2.5 di Negara-negara ASEAN Berdasarkan Kepadatan Penduduk Teguh Panuju, Achmad Yahya; Usman, Mustofa
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1385

Abstract

The concentration of PM2.5 in ambient air is one of the indicators of air quality that affects public health. This pollutant is considered hazardous due to its small size, which allows it to enter the lungs and remain suspended in the air for a considerable amount of time. Identifying the patterns of PM2.5 concentration distribution is important to recognize the influential factors in increasing PM2.5 concentrations, thus enabling better formulation of solutions. This study analyzed the patterns of PM2.5 concentrations in three ASEAN countries: Indonesia, Vietnam, and Thailand. Four randomly selected measurement locations were chosen in each country, with two locations in densely populated areas and two others in low-density areas. The sample data of PM2.5 concentrations were analyzed using nested factor analysis of variance, which allowed the relationship between the taken parameters, namely country, location, and population density classification, to be determined. The results revealed that all parameters had a significant influence on PM2.5 concentrations.
Model and Analysis of Photovoltaic Modules with Irradiation and Temperature Variations using Simulation Technology: Model dan Analisis Modul Photovoltaic dengan Variasi Iradiasi dan Temperatur menggunakan Teknologi Simulasi Rahmaniar, Rahmaniar; Khairul, Khairul; Junaidi, Agus; Sari, Debby Kaumala
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1386

Abstract

This article discusses the modeling and analysis of Photovoltaic (PV) modules with irradiation and temperature variations using simulation technology. Modeling is carried out on solar modules through the p-n junction principle, a PV module model with temperature independence of photocurrent sources, diode saturation currents, and series resistances based on the Shockley diode equation. The photovoltaic process of solar radiation, PV cells convert a portion of the photovoltaic potential directly into electricity with I-V and P-V output characteristics. Electromagnetic radiation from the sun's energy is converted into electricity through the photovoltaic effect. The photovoltaic module simulation process with Matlab/Simulink, is carried out to observe the performance through the I-V and P-V characteristics of the solar module. The model, which is developed in a user-friendly manner using the Simulink block, shows the results of the PV characteristics when irradiation increases, the output current increases and the output voltage also increases. This results in a net increase in power output with increased irradiation at constant temperature.

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